Mid-Market attitude towards Big Data transitions from "Over-Hype" to "Must-Have" technology with the increase in employee size. Nearly one-fourth of lower mid-market businesses consider big data to be over-hyped and yet 29 percent think that it will be an important part of their business decision making process in the future.

The top objectives for deploying big data projects are sentiment monitoring, generating new revenue streams & improving predictive analytics as mobility, social media, and other transactional services have increased the number of avenues for connections with customers and partners. These objectives differ by different geographic regions.

One-third of mid-market businesses say that linking structured and unstructured data would be very useful but over 70 percent mention that they have either none or very limited capabilities of analyzing unstructured data.

Survey also reveals that technology confusion, lack of skilled resources and potential unclean data are being considered as the biggest roadblocks for big data project implementations. In spite of challenges, there have been successes when IT and data analysts worked with external consultants from project inception. Survey covered 3,360 mid-market businesses globally.